Building a Culture of Analytic Excellence



1:00 – 2:30 p.m. ET 

Do you have a strategy for building analytic excellence in your organization? 

Your competitors do.  If your industry or organization has a high level of process or product innovation, you need analytics to remain competitive in today’s marketplace. 

Join us for discussions exploring real-world examples from organizations with analytic cultures that let them excel, examining how they use collaborative analytics throughout the enterprise to solve engineering, development and manufacturing problems faster, sustain innovation and maintain a competitive edge.

Featured Keynote

Tom Lange

Tom Lange

Retired Director of R&D, Procter & Gamble

Tom Lange is a 36-year veteran of Procter & Gamble and founder of its modeling and simulation group, and was largely responsible for nurturing an organizational culture that would sustain innovation and value creation. He says that to improve a business for customers and shareholders, you must first translate your business question into a science question and then answer it using analytics. In his keynote, Lange will talk about inspiring a shared vision of analytics usage.

Panel Discussion

The best organizations spread awareness and knowledge of analytics to everyone who needs it. They do more than talk about being a data-driven company; instead, they strive to put data analytics at the heart of all decision making. They embrace both traditional and modern methods of analysis, such as statistically designed experiments and machine learning, to generate and apply new knowledge. And they build infrastructure that supports the appropriate use of analytics by all job functions. Hear examples from innovative organizations during a discussion with:

  • Tom Lange, Retired Director of R&D, Procter & Gamble
  • Sarah Kalicin, Data Scientist and Industrial Statistician, Intel Corporation
  • Ted Ellefson, Principal Engineer, Seagate Technology


What will you learn?

For an organization to develop a culture of analytics, it needs a shared vision, constancy of purpose and continual reinforcement. It needs software tools that can facilitate, even encourage, the use of analytics and to train people in their effective use. This fosters adoption and engagement, makes decision making more objective and transparent, and promotes data-driven collaboration within and between teams and stakeholders.

You'll gain a better understanding of:

  • The key ingredients needed to create and promote a data-driven culture.
  • The basic steps required to use data effectively, whether for solving problems or for improvement and innovation.
  • Strategies for removing common bottlenecks to generating and sharing new knowledge.
  • The importance of visualization to make results more interpretable and easily communicated.
  • How to use technologies that help surface problems worth solving and make the right data available to drive solutions.
  • The crucial role of training programs and reward systems in developing a facilitative culture that can drive change.

Meet the Speakers

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